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Table 1. Potential Annual Energy Savings in the Metallurguichesky District Heating System

in Climate Change Mitigation: Case Studies from Russia
by October Climate Change, Sergei Avdiushin, Inna Gritsevich, Susan Legro (editor, Alexander Kolesov, Svetlana Sorokina, William U. Chandler
"... In PAGE 8: ... The project team also developed variants that would accommodate lower or higher levels of investment. Table1 provides an estimate of... ..."

Table 3.2: Heat deliveries from all Swedish district-heating systems to di erent categories of consumers in 1988: blocks and individual houses are higher. That is because people spend more time at home when they are not working. The corresponding is also obvious in the daily pattern. At apartment blocks and individual houses the consumption increases when people are coming home from work about four o apos;clock in the afternoon. At night, when people are sleeping, the heat demand is low. To operate a district-heating system in an optimal way it is necessary to have a good prediction of the future heat demand. Given that we know the future weather, i.e. outdoor temperature, wind speed and hours with sunshine, it is possible to compute a very good prediction using the consumers demand curves, i.e. the yearly, weekly and daily patterns. As a consequence, it is the accuracy of the weather forecast which limits the quality of the optimized production schedule.

in Algorithms for Short-Term Production-Planning of Cogeneration Plants
by Erik Dotzauer

Table 2. Forecast of energy and fuel savings (based on [33] data)

in The US Agency for International Development
by unknown authors
"... In PAGE 14: ...Table 3. Forecast of the costs requirements to achieve forecast savings of fuel and energy shown in Table2 (based on [33] data). Economic sector Units 2000 2001 2002 2003 2004 Total Million Hr 190.... In PAGE 56: ... As a result, we primarily reviewed energy efficiency measures for buildings that are connected to the district heating systems. A summary of recommendations [107-114] for reducing heat consumption in buildings con- nected to the district heating systems and classification of these measures [115] allowed us to define energy efficiency measures for the budget buildings of Ukraine ( Table2 ). Table 6.... ..."

Table 2. ESCO Projects in the Czech Republic, 1997 Type of Facility Number of Projects

in Tapping the Potential for Energy Efficiency: The Role of ESCOs in the Czech Republic, Ukraine and Russia
by Meredydd Evans
"... In PAGE 3: ... School projects have been particularly profitable for ESCOs, as have been the few district heating system projects implemented with performance contracts (Diduskova, 1997; Marousek, 2000). Table2 below summarizes the ESCO projects in place or underway in the Czech Republic in 1997 (Marousek, 1997). Table 2.... ..."

Table 30 Heating System

in unknown title
by unknown authors

Table 3. Names of Province with its Number of Districts.

in unknown title
by unknown authors 2007
"... In PAGE 9: ...able 2. Source of Local Government Revenues. ........................................................................ 26 Table3 .... In PAGE 57: ... 3.2 POPULATION AND SAMPLING The current study examined the educational finance for public junior secondary schools at 440 districts in 33 provinces in Indonesia as shown in Table3 . The unit of analysis of this current study was a district level.... ..."

Table XI. Heat Rejection System

in A Study of a Lifting Body as a Space Station Crew Exigency Return Vehicle (CERV)
by Ian O. MacConochie

Table XI. Heat Rejection System

in A Study of a Lifting Body as a Space Station Crew Exigency Return Vehicle (CERV)
by Ian O. MacConochie

Table 6.1: District Heat Measures independently evaluated with Step D of the ABCD Analysis

in Integrating Economics with a Strategic Sustainable Planning Method-To enhance decision making processes
by Kathleen A. Abel

Table 6.2: District Heat Measures independently evaluated with Economic Detail

in Integrating Economics with a Strategic Sustainable Planning Method-To enhance decision making processes
by Kathleen A. Abel
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